Found 3 repositories(showing 3)
Tahmid-Hasan-09
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Muhammad-Huzifa
Implementation of a landmark-based Sign Language Recognition (SLR) system using a BiLSTM network with an Attention Mechanism for improved spatial–temporal feature modeling.
Sign-Language-Research-Lab
IMU-SLR Baselines provides reproducible benchmark implementations for inertial sensor–based sign language recognition. It includes fixed segmentation with ResNet, fixed segmentation with a ViT-style Transformer, and a Seq2Seq model (BiLSTM + GRU + Attention), along with training, evaluation, and configuration scripts for standardized comparison.
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